WO2017007259A1

WO2017007259A1 - Food status measuring apparatus, food status measuring module, and smart apparatus comprising same

Info

Publication number: WO2017007259A1
Application number: PCT/KR2016/007367
Authority: WO
Inventors: 피도연
Original assignee: 피도연
Priority date: 2015-07-08
Filing date: 2016-07-07
Publication date: 2017-01-12
Also published as: EP3321662A4; CN107835938A; US10788418B2; KR101745372B1; US20180136119A1; KR20170006392A; EP3321662A1

Abstract

Provided are a food status measuring apparatus, a food status measuring module, and a smart apparatus comprising the same. The food status measuring apparatus comprises: an optical spectrum obtaining part which photographs food and obtains an optical spectrum for the food; a database which stores inherent optical spectrum information per at least one food or food ingredient; and a control part which compares the inherent optical spectrum information stored in the database with the optical spectrum obtained by the optical spectrum obtaining part and measures the status of the food.

Description

Food condition measuring device, food condition measuring module, smart device comprising the same

The present invention relates to a food condition measuring apparatus, a food condition measuring module, and a smart device including the same.

Until now, the freshness and safety of foods could only be confirmed by the salesman's words or his own naked eyes. In particular, conventional market items without packaging or expiration dates are more dependent on them. For this reason, consumers have a relatively small chance of buying clean, clean food.

As well-being culture is being formed as a social trend, consumers' desire to check food freshness and choose safe food is growing.

Despite the increasing demands of the user to determine the state of the food, such as the freshness of the food, devices that can be easily carried by the user and simply determine the state of the food without contact with the food have not been popularized.

Accordingly, an object of the present invention is to provide a food condition measuring device, a food condition measuring module, and a smart device including the same, which the user can simply carry and accurately measure the state of the food such as the freshness of the food.

Problems to be solved by the present invention are not limited to the above-mentioned problems, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

According to an aspect of the present invention, there is provided a food state measuring device according to an embodiment of the present invention, wherein an optical spectrum obtaining unit obtains an optical spectrum of the food by capturing food, and an inherent light spectrum for each food or food ingredient. And a database for storing information, and a control unit for measuring the food state by comparing the intrinsic light spectrum stored in the database with the light spectrum acquired by the light spectrum obtaining unit.

In some embodiments of the present disclosure, the apparatus may further include an output unit for notifying a user of the food condition measured by the controller.

In some embodiments of the present invention, the food state may include at least one of a kind, a food ingredient, and a fresh degree of the food.

In some embodiments of the present disclosure, the controller may identify the type of the food using the first comparison result of the light spectrum and identify the freshness of the food using the second comparison result of the light spectrum. .

In some embodiments of the present invention, the device may further include a memory card in which the database is implemented and detachable in the food condition measuring device.

The food condition measuring module according to an embodiment of the present invention for solving the above problems is a food condition measuring module that is mechanically and electrically coupled with a smart device, to obtain an optical spectrum to obtain a light spectrum of the food by imaging the food And an interface unit for transmitting the light spectrum information obtained by the light spectrum obtaining unit to the smart device, wherein the smart device stores at least one food spectrum or unique light spectrum information for each food ingredient. The food state may be measured by comparing the stored unique light spectrum with the light spectrum obtained by the light spectrum obtaining unit.

A smart device according to an embodiment of the present invention for solving the above problems is a smart device comprising a food state measuring module, the food state measuring module, the optical spectrum for obtaining a light spectrum of the food by imaging the food Comparing the acquisition unit, a database storing the light spectrum information unique to each of the at least one food or food ingredient, and the light spectrum obtained by the light spectrum acquisition unit with the intrinsic light spectrum stored in the database and the It includes a control unit for measuring the food state.

Food condition measuring apparatus according to another embodiment of the present invention for solving the above problems is an optical spectrum acquisition unit for obtaining a light spectrum of the food by imaging the food, an olfactory sensor for detecting the smell of the food, at least one A database storing light spectrum information unique to each food or food ingredient and at least one food or food ingredient specific odor information, and obtained by the unique light spectrum and the light spectrum obtaining unit stored in the database And a control unit for comparing the light spectrum, or comparing the intrinsic odor stored in the database with the odor detected by the olfactory sensor to measure the food state.

In some embodiments of the present disclosure, the controller may primarily measure the food state using only the odor comparison result.

In addition, if the food state measurement is not possible using only the odor comparison result primarily, the control unit may secondarily use only the comparison result of the light spectrum or the comparison result of the odor comparison result and the light spectrum. Food condition can be measured.

Other specific details of the invention are included in the detailed description and drawings.

According to the food state measuring device, the food state measuring module of the present invention, and a smart device including the same, the user can simply carry and accurately measure the state of the food such as the freshness of the food.

Effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a block diagram schematically showing the configuration of a food condition measuring apparatus according to an embodiment of the present invention.

2 is an exemplary view schematically showing imaging of food using a food condition measuring apparatus according to an embodiment of the present invention.

3 is an exemplary view schematically showing a light spectrum for each food measured using a food condition measuring apparatus according to an embodiment of the present invention.

FIG. 4 is an exemplary diagram schematically illustrating identifying a type of food based on a light spectrum measured using a food condition measuring apparatus according to an embodiment of the present invention.

FIG. 5 is an exemplary view schematically illustrating identifying a change in state of food based on a light spectrum measured using a food state measuring apparatus according to an embodiment of the present invention.

6 is an exemplary diagram schematically showing values of types of spectra inherent in each food ingredient.

7 is an exemplary view schematically showing the components of the food measured using the food condition measuring apparatus according to an embodiment of the present invention.

8 is a block diagram schematically illustrating a system including a food condition measurement module and a smart device according to an embodiment of the present invention.

FIG. 9 is a block diagram schematically illustrating the smart device of FIG. 8.

10 is a block diagram schematically illustrating the food condition measurement module of FIG. 8.

11 is a block diagram schematically illustrating a smart device according to an embodiment of the present invention.

12 is a block diagram schematically showing a food condition measuring apparatus according to another embodiment of the present invention.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. Advantages and features of the present invention and methods for achieving them will be apparent with reference to the embodiments described below in detail with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be embodied in various different forms, and the present embodiments merely make the disclosure of the present invention complete, and are common in the art to which the present invention pertains. It is provided to fully inform those skilled in the art of the scope of the invention, which is defined only by the scope of the claims. Like reference numerals refer to like elements throughout.

Unless otherwise defined, all terms (including technical and scientific terms) used in the present specification may be used in a sense that can be commonly understood by those skilled in the art. In addition, terms that are defined in a commonly used dictionary are not ideally or excessively interpreted unless they are specifically defined clearly.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, "comprises" and / or "comprising" does not exclude the presence or addition of one or more other components in addition to the mentioned components.

1 is a block diagram schematically showing the configuration of a food condition measuring apparatus according to an embodiment of the present invention, Figure 2 is a schematic diagram of imaging the food using a food condition measuring apparatus according to an embodiment of the present invention It is an exemplary figure shown by FIG.

Referring to FIG. 1, the food state measuring apparatus 100 according to an exemplary embodiment of the present invention may include a light spectrum obtaining unit 110, a storage unit 120, a user input unit 130, an output unit 140, and a controller ( 150, a power supply unit 160.

The light spectrum obtaining unit 110 acquires a light spectrum of food by imaging the foods F1 and F2. In detail, the light spectrum obtaining unit 110 may acquire an optical spectrum of the food by capturing and acquiring the image of the food or the reflected light reflected from the food.

The storage unit 120 stores various data and commands. The storage unit 120 may store system software and various applications for the operation of the food state measuring apparatus 100. The storage unit 120 may include random access memory (RAM), read only memory (ROM), erasable-programmable ROM (EPROM), electrically EPROM (EEPROM), flash memory, hard disk, removable disk, or the technical field to which the present invention belongs. Computer-readable recording media of any form well known in the art.

In addition, the storage unit 120 may include a database 121 that stores food information. The database 121 may store unique light spectrum information for each of one or more types of foods and food ingredients. Food information stored in the database 121 may be continuously updated using food information provided from other computer systems. Alternatively, the database 121 is implemented in a removable memory card (not shown) in the food condition measuring apparatus 100, and the food information stored in the database 121 is stored by the user downloading and storing new food information from another computer system. It can be updated continuously. Accordingly, the food information stored in the database 121 can always maintain the accuracy and reliability.

The user input unit 130 receives various information from the user. The user input unit 130 may include input means such as a keypad, a button, a switch, a touch pad, and a jog wheel. When the touch pad has a mutual layer structure with the display module 141 which will be described later, a touch screen may be configured.

The output unit 140 notifies the user of various information. The output unit 140 may output information in the form of text, video or audio. To this end, the output unit 140 may include a display module 141 and a speaker module 142. The display module 141 may include a plasma display panel (PDP), a liquid crystal display (LCD), a thin film transistor (TFT) LCD, an organic light emitting diode (OLED), a flexible display, a three-dimensional display, an electronic ink display, or the present invention. It may be provided in any form well known in the art. The output unit 140 may further include any form of output means well known in the art.

The controller 150 controls other components to control the overall operation of the food condition measuring apparatus 100. The controller 150 may perform system software and various applications stored in the storage 120. The control unit 150 receives the light spectrum information obtained by the light spectrum obtaining unit 110 from the light spectrum obtaining unit 110, and transmits the light spectrum to the unique light spectrum and the light spectrum obtaining unit 110 stored in the database 121. The food state can be measured by comparing the light spectrums obtained by. The food state measured using the light spectrum may include a kind of food, a food ingredient, a fresh degree, and the like. The controller 150 may notify the user of the information about the food state measured according to the light spectrum obtained by the light spectrum obtaining unit 110 or the comparison result of the light spectrum through the output unit 140.

The power supply unit 160 supplies power required for the operation of the optical spectrum acquisition unit 110, the storage unit 120, the user input unit 130, the output unit 140, and the control unit 150. The power supply unit 160 may include an internal battery.

Meanwhile, the functional blocks shown in FIG. 1 are merely illustrated to describe an embodiment of the food state measuring apparatus of the present invention, and the food state measuring apparatus of the present invention omits some of the functional blocks shown in FIG. 1. It should be construed that it may include the case where a new functional block is added or not shown.

Referring to FIG. 3, the light spectra for an exemplary first food F1 and a second food F2 are shown. The first food F1 and the second food F2 may have different light spectra. Specifically, in the light spectrum of the first food F1, the intensity of light in the long wavelength band (exemplified around 700 nm) may be superior to other bands by about 10, and in the light spectrum of the second food F2, The intensity of light in the intermediate band (exemplified around 300 nm) can be superior to other bands by about 10 degrees. That is, each food may have a unique light spectrum different from each other, and the food condition measuring apparatus 10 may identify the type of the food by analyzing the light spectrum.

“Type” in FIG. 4 means values that can characterize the unique light spectrum of each food. For example, the type indicates in which wavelength band of the light spectrum the dominance of the light, how the light spectrum fluctuates with increasing or decreasing wavelength, what is the overall intensity of the light spectrum, or the average of the light per wavelength band of the light spectrum. The strength may include such values as, but the present invention is not limited thereto.

Hereinafter, in order to describe the Example of the food-state measuring apparatus of this invention, it demonstrates using the average intensity of the light for every wavelength band of a light spectrum as a type of light spectrum (A, B, C, D, E). In Figure 4, type (A) means the average intensity of the light of the shortest wavelength band measured, type (E) means the average intensity of the light of the longest wavelength band measured, and type (B, C, D) It may mean the average intensity of light for each wavelength band between the type (A) and type (E).

Tables relating to types and types on the left side of FIG. 4 may be provided in the database 121 of the food condition measuring apparatus 100.

The type-specific value of the light spectrum of the first food F1 may be, for example, “a1, b1, c1, d1, e1”, which may be “baked” stored in the database 121 of the food condition measuring apparatus 100. Beef "can be compared and matched to the type-specific value of the light spectrum.

Similarly, the type-specific value of the light spectrum of the second food F2 may be, for example, “a2, b2, c2, d2, e2”, which are stored in the database 121 of the food condition measuring device 100. It may be compared and matched to values by light spectrum type of “cabbage”.

Accordingly, the food condition measuring apparatus 100 may identify the type of the first food F1 as grilled beef and identify the type of the second food F2 as cabbage.

As described with reference to FIG. 4, the type of the first food F1 is automatically determined using the light spectrum of the first food F1, or the food type of the first food F1 that the user is measuring. You can enter it directly.

Referring to FIG. 5, values for each type of light spectrum of roasted beef stored in the database 121 of the food state measuring apparatus 100 may be “a1, b1, c1, d1, and e1,” respectively. For example, the type-specific value of the light spectrum may be "a1 ', b1', c1 ', d1', e1 ', respectively. Deviation between the type-specific value of the light spectrum of the roast beef and the type-specific value of the light spectrum of the first food F1 may be “da1, db1, dc1, dd1, de1”, respectively. The deviation of the light spectrum may indicate a change in state of the food, and the food state measuring apparatus 100 may identify the change of state of the food by analyzing the deviation of the light spectrum. That is, the larger the deviation of the light spectrum, the larger the change in the state of the food, for example, the lower the freshness of the food can be identified. This deviation may have a value small enough to match the type of food in FIG. 4.

On the other hand, the method of identifying the change in the state of the food as described above is merely exemplary, the present invention, in order to more accurately identify the change in the state of the food, for example, the change in the freshness of the food, only the magnitude of the deviation Rather, it is also possible to use a discriminant comprising several factors for identifying the state of the food, for example the freshness of the food.

FIG. 6 is an exemplary view schematically showing values of types of inherent light spectra for each food ingredient, and FIG. 7 schematically shows ingredients of food measured using a food condition measuring apparatus according to an embodiment of the present invention. It is an illustration.

Referring to FIG. 6, a unique light spectrum for each food ingredient and values for each type of the light spectrum may be provided in the database 121 of the food state measurement apparatus 100. Food ingredients may include, for example, proteins, fats, carbohydrates, other minerals, and the like. The type-specific values of the light spectrum of the first component I1 may be, for example, “a_I1, b_I1, c_I1, d_I1, e_I1”, and the type-specific values of the light spectrum of the m-th component Im may be “ a_Im, b_Im, c_Im, d_Im, e_Im ”.

The light spectra for a food composed of two or more food ingredients may be overlapped linearly or nonlinearly so that the shared light spectra for each food ingredient may be interpreted through a discriminant equation.

The type-specific values of the light spectrum for food consisting of two or more food ingredients are compared and matched, for example, by combining (by weighting) the type-specific values of the light spectrum for two or more food ingredients stored in database 121. Can be.

Accordingly, the food state measuring apparatus 100 may identify a food component of the food to be measured, and may identify the ratio of each food component using the weight.

As illustrated in FIG. 7, the first food product F1 and the second food product F2 may have various components different from each other. By way of example, the first component (I1) is fat, the second component (I2) is a protein, the third component (I3) is water, the fourth component (I4) is inorganic, and the fifth component (I5) May be a toxic substance.

The food state measuring apparatus 100 may measure the content of each food ingredient, and may measure the nutritional value of the corresponding food based on this. In addition, the food condition measuring apparatus 100 may determine whether the food, for example, has a unique toxic substance that may occur when freshness is inhibited.

FIG. 8 is a block diagram schematically showing a system including a food condition measurement module and a smart device according to an embodiment of the present invention, FIG. 9 is a block diagram schematically showing the smart device of FIG. 8, and FIG. 10. Is a block diagram schematically illustrating the food condition measurement module of FIG. 8.

8, compared to the embodiment described with reference to FIG. 1, the food state measurement is performed by the smart device 200, and the acquisition of the light spectrum for the food state measurement is performed by the food state measurement module ( The difference is that it is performed by 300). For convenience of description, a repetitive description of the same configuration as the embodiment described with reference to FIG. 1 will be omitted.

Referring to FIG. 8, the smart device 200 and the food condition measuring module 300 may be mechanically and electrically coupled. The smart device 200 represents a computer system that a user can use while moving. For example, the smart device 200 may be a computer system such as a smart phone, a tablet, a personal digital assistant (PDA), a laptop, and the like, but the present invention is not limited thereto. That is, the smart device 200 may be any computing system that can connect to the network and has mobility.

Referring to FIG. 9, the smart device 200 may include a wireless communication unit 210, an A / V input unit 220, a user input unit 230, a sensing unit 240, an output unit 250, a storage unit 260, The interface unit 270 includes a control unit 280 and a power supply unit 290.

The wireless communication unit 210 may wirelessly communicate with an external device. The wireless communication unit 210 may wirelessly communicate with an external device using a wireless communication method such as mobile communication, WiBro, Bluetooth, Wi-Fi, Zigbee, ultrasound, infrared, RF (Radio Frequency), and the like. have. However, the wireless communication scheme of the user terminal 200 is not limited to the specific embodiment. The wireless communication unit 210 may transmit data and / or information received from the external device to the controller 280, and transmit data and / or information transmitted from the controller 280 to the external device. To this end, the wireless communication unit 210 may include a mobile communication module 211 and a short-range communication module 212.

The A / V input unit 220 is for inputting a video or audio signal, and may include a camera module 221 and a microphone module 222.

The user input unit 230 receives various information from the user. The user input unit 230 may include input means such as a keypad, a button, a switch, a touch pad, and a jog wheel. When the touch pad has a mutual layer structure with the display module 251 described later, a touch screen may be configured.

The sensing unit 240 detects the state of the smart device 200 or the state of the user. The sensing unit 240 may include sensing means such as a touch sensor, a proximity sensor, a pressure sensor, a vibration sensor, a geomagnetic sensor, a gyro sensor, an acceleration sensor, and a biometric sensor. The sensing unit 240 may be used for user input.

The output unit 250 notifies the user of various kinds of information. The output unit 250 may output information in the form of text, video or audio. To this end, the output unit 250 may include a display module 251 and a speaker module 252. The display module 251 is a plasma display panel (PDP), liquid crystal display (LCD), thin film transistor (TFT) LCD, organic light emitting diode (OLED), flexible display, three-dimensional display, electronic ink display, or the present invention. It may be provided in any form well known in the art. The output unit 250 may further include any form of output means well known in the art.

The storage unit 260 stores various data and commands. The storage unit 260 may store system software and various applications for the operation of the smart device 200. The storage unit 260 may be a random access memory (RAM), a read only memory (ROM), an erasable-programmable ROM (EPROM), an electrically EPROM (EEPROM), a flash memory, a hard disk, a removable disk, or a technical field to which the present invention belongs. Computer-readable recording media of any form well known in the art.

In addition, the storage 260 may include a database 261 that stores food information. The database 261 may store unique light spectrum information for each of one or more types of foods and food ingredients.

The interface unit 270 serves as a path to an external device (in the embodiment of the present invention, the food condition measuring module 300) connected to the smart device 200. The interface unit 270 may receive light spectrum information from the food condition measurement module 300. The interface unit 270 may transmit internal data and / or information to the food state measurement module 300 or supply internal power. The interface unit 270 may include, for example, a wired / wireless headset port, a charging port, a wired / wireless data port, a memory card port, a universal serial bus (USB) port, and an identification module. Port may be connected to a connected device, an audio input / output (I / O) port, a video input / output (I / O) port, or the like.

The controller 280 controls other components to control the overall operation of the smart device 200. The controller 280 may perform system software and various applications stored in the storage 260. The controller 280 receives the light spectrum information acquired by the food condition measurement module 300, compares the light spectrum obtained by the food condition measurement module 300 with the unique light spectrum stored in the database 261. Food condition can be measured. The control unit 280 may notify the user of the information about the food state measured according to the light spectrum or the comparison result of the light spectrum obtained by the food state measurement module 300 through the output unit 250.

The power supply unit 290 may include a wireless communication unit 210, an A / V input unit 220, a user input unit 230, a sensing unit 240, an output unit 250, a storage unit 260, an interface unit 270, Supply power for the operation of the control unit 280. The power supply unit 290 may include an internal battery.

Referring to FIG. 10, the food condition measuring module 300 according to an embodiment of the present invention does not include a database 121 and interfaces with the food condition measuring device 100 described with reference to FIG. 1. The unit 330 further includes.

The interface unit 330 serves as a passage with an external device (in the embodiment of the present invention, the smart device 200) connected to the food condition measuring module 300. The interface unit 330 may transmit the light spectrum information obtained by the light spectrum acquisition unit 310 to the smart device 200. The interface unit 330 may receive internal data and / or information from the smart device 200 or receive power and deliver the internal data and / or information to the internal components.

11, the smart device 400 further includes its own food condition measurement module, compared to the embodiment described with reference to FIGS. 8 to 10, for food condition measurement and food condition measurement. The difference is that the acquisition of the light spectrum is all performed by the smart device 400. For convenience of description, a repetitive description of the same configuration as the embodiment described with reference to FIG. 1 will be omitted.

Referring to FIG. 8, the smart device 400 according to an embodiment of the present invention further includes a food condition measuring module, wherein the food condition measuring module includes at least a light spectrum obtaining unit 425, a database 461, and a controller ( 480).

The light spectrum obtaining unit 425 captures food and obtains a light spectrum related to the food.

The storage unit 460 may include a database 461 that stores food information. The database 461 may store unique light spectrum information for each of one or more types of foods and food ingredients.

The controller 480 may measure the food state by comparing the inherent light spectrum stored in the database 461 with the light spectrum acquired by the light spectrum obtaining unit 425. The food state measured using the light spectrum may include a kind of food, a food ingredient, a fresh degree, and the like. The controller 480 may notify the user of the information about the food state measured according to the light spectrum obtained by the light spectrum obtaining unit 425 or the comparison result of the light spectrum through the output unit 450.

In the embodiment shown in FIG. 12, compared to the embodiment described with reference to FIG. 1, the food condition measuring apparatus 500 further includes an olfactory sensor 520, so that the food condition measurement is not only a comparison result of the light spectrum. The difference is that it is carried out further using the results of the comparison of the odors. For convenience of description, a repetitive description of the same configuration as the embodiment described with reference to FIG. 1 will be omitted.

12, the food condition measuring apparatus 500 according to another embodiment of the present invention further includes an olfactory sensor 520.

The olfactory sensor 520 may detect the type and concentration of the chemical in the air (that is, the smell of food).

In addition, the storage unit 530 may include a database 531 for storing food information. The database 531 may store unique light spectrum information and unique odor information for each of one or more types of foods and food ingredients.

The controller 560 compares the intrinsic light spectrum stored in the database 531 with the light spectrum acquired by the light spectrum acquirer 510, or the intrinsic odor and olfactory sensor 520 stored in the database 531. Food status can be measured by comparing the sensed odors. The food state to be measured may include a kind of food, a food ingredient, a fresh degree, and the like.

The food condition measuring apparatus 500 may more accurately measure the state of food by using the comparison result of the smell as well as the comparison result of the light spectrum.

In addition, the controller 560 may primarily measure the food state using only the odor comparison result. If the measurement is not possible, the controller 560 may secondarily measure the food state using only the comparison result of the light spectrum or the comparison result of the odor and the light spectrum. As a result, the food condition measuring apparatus 500 can measure the state of the food more accurately and at the same time faster.

The control unit 150 outputs the information about the food state measured according to the light spectrum acquired by the light spectrum obtaining unit 510, the smell detected by the olfactory sensor 520, or a comparison result thereof, through the output unit 550. The user can be notified.

The method described in connection with an embodiment of the present invention may be implemented as a software module performed by a processor. The software module may reside in RAM, ROM, EPROM, EEPROM, flash memory, hard disk, removable disk, CD-ROM, or any form of computer readable recording medium well known in the art. .

Although the embodiments of the present invention have been described above with reference to the accompanying drawings, those skilled in the art to which the present invention pertains may implement the present invention in other specific forms without changing the technical spirit or essential features thereof. You will understand that. Therefore, it should be understood that the embodiments described above are exemplary in all respects and not restrictive.

Claims

An optical spectrum obtaining unit which acquires an optical spectrum of the food by imaging a food;

A database for storing light spectrum information unique to at least one food or food ingredient; And

And a control unit for comparing the intrinsic light spectrum stored in the database with the light spectrum acquired by the light spectrum obtaining unit to measure the food state.
The method of claim 1,

And an output unit for notifying a user of the food state measured by the control unit.
The method of claim 1,

And the food state comprises at least one of a kind, a food ingredient, and a fresh degree of the food.
The method of claim 1,

And the control unit identifies the type of the food using the first comparison result of the light spectrum, and identifies the freshness of the food using the second comparison result of the light spectrum.
The method of claim 1,

Wherein the database is implemented, further comprising a removable memory card in the food condition measurement device.
A food condition measurement module that is mechanically and electrically coupled with a smart device.

An optical spectrum obtaining unit which acquires an optical spectrum of the food by imaging a food; And

An interface unit for transmitting the light spectrum information obtained by the light spectrum obtaining unit to the smart device,

The smart device stores the light spectrum information unique to at least one food or food ingredient, and measures the food state by comparing the stored light spectrum with the light spectrum obtained by the light spectrum acquisition unit. Possible, food condition measurement module.
A smart device comprising a food condition measurement module,

The food state measurement module,

An optical spectrum obtaining unit which acquires an optical spectrum of the food by imaging food;

A database for storing light spectrum information unique to at least one food or food ingredient;

And a control unit for comparing the intrinsic light spectrum stored in the database with the light spectrum acquired by the light spectrum obtaining unit to measure the food state.
An optical spectrum obtaining unit which acquires an optical spectrum of the food by imaging a food;

An olfactory sensor for detecting the smell of the food;

A database for storing light spectrum information unique to at least one food or food ingredient and at least one food or food ingredient specific odor; And

The food state by comparing the intrinsic light spectrum stored in the database with the light spectrum acquired by the light spectrum acquisition unit, or by comparing the intrinsic odor stored in the database with the odor sensed by the olfactory sensor Food condition measuring apparatus comprising a control unit for measuring.
The method of claim 8,

The control unit primarily measures the food state using only the odor comparison result, food condition measuring apparatus.
The method of claim 9,

If the food state cannot be measured primarily by using only the odor comparison result, the controller may secondarily use only the comparison result of the light spectrum or the odor comparison result and the comparison result of the light spectrum. To measure the food condition measuring device.